Co4Pilot

AI驱动的学术科研全生命周期助手

AI-Powered Copilot for the Academic Research Lifecycle

覆盖学术生涯四大支柱Covering the four pillars of academic life: People · Project · Paper · Patent

GitHub 仓库GitHub Repo 快速开始Get Started
45 核心技能Core Skills
10 领域技能Domain Skills
4 核心支柱Pillars
9 复合智能体Agents

4P 框架The 4P Framework

🎓

People

13 skills

团队与人才: 学生指导、课程设计、职业发展、团队管理

People & Talent: Student mentoring, course design, career, team management

类别Category 数量Count
Mentoring 5
Teaching 4
Career 3
Team Management 1
📋

Project

12 skills

项目管理: 基金申请、项目执行、预算管理、数据管理

Project Management: Grant writing, execution, budgets, research data

类别Category 数量Count
Proposal 4
Execution 4
Data Management 4
📝

Paper

16 skills

论文写作: 文献检索、论文撰写、同行评审、学术传播

Paper Writing: Literature search, composition, peer review, dissemination

类别Category 数量Count
Literature 4
Writing 6
Review 2
Impact 4
🔒

Patent

4 skills

专利保护: 专利挖掘、披露、撰写、答复

Patent Protection: Mining, disclosure, drafting, office actions

类别Category 数量Count
Patent Mining 1
Disclosure 1
Drafting 1
Office Action 1

领域扩展Domain Extensions

4P框架提供通用学术技能, 领域扩展在此基础上叠加学科专业知识。

The 4P framework provides universal academic skills. Domain extensions layer discipline-specific expertise on top.

AD Safety 10 skills

贡献者: Dr. Cheng Wang (Heriot-Watt University) Contributor: Dr. Cheng Wang (Heriot-Watt University)

覆盖 SOTIF、场景测试、安全保障、V&V、自动驾驶基础模型 SOTIF, scenario testing, safety assurance, V&V, foundation models for AD

项目结构Architecture

Co4Pilot
|
+-- skills/
|   +-- people/                       People (13 skills)
|   |   +-- mentoring/                  Student supervision
|   |   |   +-- undergrad-thesis          28-week undergraduate thesis guide
|   |   |   +-- master-program            2-3 year master's roadmap
|   |   |   +-- phd-program               4-5 year PhD lifecycle
|   |   |   +-- research-direction        Gap identification, feasibility matrix
|   |   |   +-- progress-tracking         Milestone tables, early warning
|   |   +-- teaching/                   Course design & delivery (4)
|   |   +-- career/                     Academic career development (3)
|   |   +-- team-management             Lab culture, roles, conflict
|   |
|   +-- project/                      Project (12 skills)
|   |   +-- proposal/                    Grant & project proposals (4)
|   |   +-- execution/                   Project management (4)
|   |   +-- data/                        Research data management (4)
|   |
|   +-- paper/                        Paper (16 skills)
|   |   +-- literature/                  Literature research (4)
|   |   +-- writing/                     Paper composition (6)
|   |   +-- review/                      Peer review (2)
|   |   +-- impact/                      Academic dissemination (4)
|   |
|   +-- patent/                       Patent (4 skills)
|   |   +-- patent-mining                 5 mining methods, portfolio
|   |   +-- disclosure                    Timing rules, TTO process
|   |   +-- patent-drafting               Claims, specification, PCT
|   |   +-- office-action                 US/CN/EP rejection responses
|   |
|   +-- domains/                      Domain Extensions
|       +-- ad-safety/                    AD Safety (10 skills)
|
+-- agents/                           9 composite agents
+-- workflows/                        5 end-to-end workflows
+-- install.sh                        Append-only installation
+-- LICENSE

快速开始Quick Start

# Clone the repository
git clone https://github.com/AutoZYX/Co4Pilot.git
cd Co4Pilot
./install.sh

安装过程采用追加模式, 不会影响现有开发环境。卸载: Append-only installation -- your existing dev environment stays untouched. To uninstall: ./install.sh --uninstall

关于About

Co4Pilot张玉新 创建, 他是吉林大学汽车工程学院副教授, 研究方向为自动驾驶安全、SOTIF与场景驱动测试。 每个技能文件包含200-500行实质性内容, 框架和模板来源于 MIT、Stanford、Harvard、CMU、Oxford 等顶级大学的最佳实践。

Co4Pilot was created by Yuxin Zhang, Associate Professor at Jilin University, School of Automotive Engineering. Research: autonomous driving safety, SOTIF, scenario-based testing. Every skill file contains 200-500 lines of substantive content with frameworks and templates sourced from MIT, Stanford, Harvard, CMU, Oxford, and other top universities.

灵感来源于Inspired by automotive-claude-code-agents (Thejeswarareddy R, Bosch), 该项目展示了如何将领域专业知识系统化地集成到 AI 编程助手中。 by Thejeswarareddy R (Bosch), which demonstrated how domain-specific knowledge can be systematically integrated into AI coding assistants.

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